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Department of Bioengineering
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Systems and Synthetic Biology

Systems and Synthetic Biology (SSB) are two newly emergent fields that combine experimental and theoretical approaches from engineering and other disciplines to solve both fundamental and applied problems in the biosciences and medicine.

Systems Biology attempts to understand how biological processes, within cells, a group of cells, or an entire tissue work at the ‘network level’, and generally seeks to determine how biological components (e.g., genes, proteins and biochemical reactions) interact to produce defined physiological responses and behaviors. Ultimately, this multi-scale understanding of biological systems is central to gaining a better understanding of the causes and progression of human diseases, and promises to lead to new therapeutic strategies that can be increasingly personalized.

Synthetic Biology is the purposeful design of biological systems possessing new functional properties, typically using molecular genetic parts. Approaches range from the engineering of novel proteins to the creation of artificial gene networks that can process information, sense and respond to complex set of environmental cues, and produce industrially important commodities for biological or biomedical applications.

The SSB research areas are tightly related through the use of quantitative experimental and theoretical approaches to characterize biological networks and to understand emergent functional relationships and behaviors. SSB researchers and project areas in the Rice Department of Bioengineering include: 

Michael Deem

 Michael W. Deem, Ph.D.Click for larger view

  • Newton's laws of biology
  • Physical theories of evolution
  • Theory of the immune system, including vaccine design

Deem Group

 

Mike Diehl  

Click for larger viewMichael Diehl, Ph.D.

  • Regulation of intracellular transport
  • In situ molecular pathway analyses

Macromolecular Systems Bioengineering Group

     

131015_Oleg_Igoshin_thumbnail

 Oleg A. Igoshin, Ph.D. Click for larger view

  • Computational modeling of biochemical networks
  • Evolutionary design principles of cellular
    information processing
  • Multicellular signaling, self-organization and pattern formation

Cellular System Dynamics Group

Jianpeng Ma_Thumbnail

 Jianpeng Ma, Ph.D. Ma_aniso_oct_top

  • Epigenetic regulation from individual elements to network
  • Stem cells and cancer cells
  • Anticancer drug development
  • Bioinformatics, biochemistry, biophysics and
    structural biology

Ma Laboratory 

John McDevitt_thumbnail

John T. McDevittBioMEMS  

  • Nanomedicine
  • Biofluidic-based diagnostics for cancer, infectious
    diseases, and pathogen detection
  • Cellular imaging systems
  • Multi-class (combined cellular, genomic, proteomic, 
    general chemistry panels) multi-plexed sensor systems

Lab-on-a-Chip Sensor Technologies at tastechip.com

Amina Qutub

Amina A. Qutub, Ph.D. Click for larger view

  • Regulation of intracellular hypoxic response in ischemia and cancer
  • Neurogenesis and angiogenesis signaling
  • Algorithm development for cell-level modeling coupled to imaging

Microvascular Systems Biology Laboratory

Rob Raphael

Robert Raphael, Ph.D.

  • Auditory Systems Biology
  • Micromechanical Biosystems

Membrane and Auditory Bioengineering Group

Ka-Yiu San

  Ka-Yiu San, Ph.D.Click for larger view 

  • Metabolic and genetic engineering
  • Systems biotechnology
  • Genetic architecture and phenotype

Metabolic Engineering and Systems Biotechnology Laboratory

Junghae Suh

Junghae Suh, Ph.D. Suh graphic 

  • Reprogramming viruses as biomolecular information
    processing devices
  • Design of virus-based technologies to perturb and
    manipulate genetic networks
  • Laboratory directed evolution of viruses

Nanotherapeutics Research Laboratory

Jeff Tabor

Jeffrey J. Tabor, Ph.D.Tabor graphic

  • Cellular sensing
  • Signaling circuits
  • Cell-cell communication
  • Pattern formation and social interactions

Tabor Laboratory

David_Zhang_web_small

David Zhang, Ph.D.  

  • Nucleic acid circuits for in vitro diagnostics
  • Encoding higher order logic with nucleic acids circuits
  • Scaffolding of biomolecules using nucleic acids structures

Nucleic Acid Bioengineering Laboratory (NABLab)